Here we will be exploring grad school admissions data.
Below is a glimpse of the dataset.
| admit | gre | gpa | rank |
|---|---|---|---|
| 0 | 380 | 3.61 | 3 |
| 1 | 660 | 3.67 | 3 |
| 1 | 800 | 4.00 | 1 |
| 1 | 640 | 3.19 | 4 |
| 0 | 520 | 2.93 | 4 |
| 1 | 760 | 3.00 | 2 |
##Plots##
GPA’s affect on rank
GRE score affect on rank
Rank’s affect on admittance
GRE vs GPA
The better the gpa, the better the gre score.
##Models##
Our model formula is:
## admit ~ gre * gpa
Model Output Table
| term | estimate | std.error | statistic | p.value |
|---|---|---|---|---|
| (Intercept) | -1.5583939 | 1.0372207 | -1.502471 | 0.1337725 |
| gre | 0.0023212 | 0.0017605 | 1.318498 | 0.1880992 |
| gpa | 0.4641945 | 0.3124405 | 1.485705 | 0.1381527 |
| gre:gpa | -0.0005285 | 0.0005211 | -1.014229 | 0.3110929 |